This position will perform microbial genomics research using computational and statistical analyses to decipher biological meaning from genome sequences and related data, including both DNA and RNA sequences, as well as other microbiome data. The applicant’s specific efforts will include:
1. Contribute to the development of DRAM, the laboratory genome annotation software, and new computation tools and frameworks for microbiome data science
2. Establish pipelines and create software for analyzing next generation DNA and RNA sequencing methods, and benchmark and validate these sequence analysis pipelines and approaches
3. Analysis of internally generated microbiome data using standard pipelines as well as innovative approaches
4. Work alongside microbiologists, computational biologists, environmental scientists in a team project environment, with the end goal of contributing to the discovery of functions and interactions encoded in microbial community genomic data
5. Develop data management and server operations protocols for within and outside the laboratory
6. Contribute data and figures for the public dissemination of the research output via scientific publications and presentations
Research Associate II
• B.S. in bioinformatics, computational biology, statistics, computer science, or closely related field + 3 years related experience, or a Master’s degree in computational biology, bioinformatics, or related field
Research Associate III
• B.S. in bioinformatics, computational biology, statistics, computer science, or closely related field + 5 years related experience or a Master’s + 2 years exp. or PhD degree in computational biology, bioinformatics, or similar field or equivalent field
Research Associate IV
• B.S. in bioinformatics, computational biology, statistics, computer science, or closely related field + 10 years related experience or a Master’s + 5 years exp. or PhD degree + 2 years exp. in computational biology, bioinformatics, or similar field or equivalent field
All candidates:
• A strong background in working with genomic and gene expression data including NGS analyses (mapping, variant calling, etc.)
• Proficiency in Python, adept at developing software and scripts for genome-enabled bioinformatics analyses
• Experience using Linux command-line tools and relational databases (SQL).
• Proven ability in software development, including best practices in testing, version control using git and continuous integration
• Excellent written communication skills, including the capacity to work independently to author software with clearly established protocols, and including coding best practices and reproducible research
• Ability and desire to communicate in cross functional teams with members from varying backgrounds
CSU job portal at: jobs.colostate.edu/postings/81875